International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume:07 Issue: 09 | Sep 2020 www.irjet.net e-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1013 MACHINE LEARNING APPROACH BASED HOME ENERGY MANAGEMENT PREDICTION SYSTEM P.Naveenkumar 1 , G.Rajeswari 2 1 Assistant Professor, Department of Electrical and Electronics Engineering, Knowledge Institute of Technology, Tamil Nadu, India 2 PG Scholar, Department of Electrical and Electronics Engineering, Knowledge Institute of Technology, Tamil Nadu, India ---------------------------------------------------------------------------------------------------------------------------------- Abstract - Energy crisis is one among the prime challenges being faced by many of the countries within the world today. For an enormous extent of the demand of energy in industrial development has increased tremendously. A lot of techniques are suggested like an Energy monitoring and prediction system which is an efficient technique to watch the devices present inside a house or industries and provide notification about their abnormal behavior. In this paper, we have focused on predicting electric energy use of home appliances in a low energy consumption house. Electric energy demands are changed in weekdays and weekend days due to the staying time of home residents. In this project the implementation of an advanced Internet of Things (IoT) based system for intelligent energy management in Industries and the home usage. The users can view their status threw the IOT based android application and the webserver. Key Words: Energy Meter, Intelligent Prediction Model, Internet of Things. Energy Management 1. INTRODUCTION Internet of Things and Everything (IoT/E) is a relatively new concept that explains the aggregation of objects, systems, processes etc, via an IPv6 backbone into the web environment. In the existing power utility setup, an IoT framework is often to improve the issues faced by energy consumers on day to day. For instance, consumers are presented with consumed energy details just one occasion a month with zero control on the deployed smart meter (if in existence). The way that is too long for the consumer to watch the instantaneous changes within the power usage. So the length of the time is also getting increase. In addition, utility bills can be convoluted on how they present usage information, but a consumer may not be able to decipher changes in their power usage from the last bill. In most cases, if any consumer fails to pay the bill, the utility field marketers go to their houses to disconnect the facility supply. To display the total real time usage of power and amount of electricity, the conventional energy meters are presently installed in households. 1.1 Need for Demand There is no thanks to access the small print on what the day’s, week’s or month’s consumption was on these meters. Often, these meters are placed in an inconvenient location which makes regular viewing somewhat difficult. Sadly, ubiquitous access to consumption rate and energy profile by consumers is impracticable. By deploying a sensing/monitoring mechanism in real time (using IoT), the precise power consumed are often ascertained while deriving informed decisions on the way to manage the connected loads. A system which will give users an estimate of what proportion energy is getting used, that has been used, or which may be consumed will allow them to regulate their habits and lower the costs [4]. This is a sort of Demand Side Management during a previous study, i.e., R-SGEMS. 1.2 Meter Reading Techniques In the conventional electro-mechanical and computerized metering framework, electric vitality is reviewed by individual and regularly they arranged the bill through suspicion dependent on his history of power utilization. Possibly the buyer has not used the comparable measure of power in the present month as in the earlier months for reasons, for example, holidaying somewhere else or being in the office for long time, and so on. This strategy for charging is additionally not appropriate for the power supply organization since it gives a wrong record of the general power utilization in the buyer's region and may at last outcome in blunders in future arranging by the organization. Over the previous years, metering gadgets have experienced numerous enhancements and clothed to be more convoluted with more highlights and capacities. Electro mechanical Meter has next to no exactness and absence of configurability. There are such a significant number of issues require service organizations to